def isHaveName(name):
mysql = connect_db.connect_db()
if mysql.isHaveName(name):
mysql.close()
return 1
mysql.close()
return 0
def test_recommend(user_id):
mysql = connect_db.connect_db()
recommend = recommend_movies.comput_recommend(user_id)
test_movies = mysql.getTestMovies(user_id)
mysql.close()
test = []
stdout_backup = sys.stdout
num = len(test_movies)
N = 0
NN = 0
for row in recommend:
if int(row[0]) > 0:
test.append([int(row[0]),row[1],0])
#print(test)
for i in range(len(test)):
for row in test_movies:
if row[0] == test[i][0]:
test[i][2] = row[1]
N += 1
if row[1] >= 3:
NN += 1
break
#for row in test:
# print(row)
log_file = open("log.log", "a")
sys.stdout = log_file
if N == 0:
print(user_id, N/num, 0)
else:
print(user_id, N/num, NN/N)
sys.stdout = stdout_backup
log_file.close()
def getUserName(user_id):
mysql = connect_db.connect_db()
sign = mysql.getUserName(user_id)
mysql.close()
if sign is '':
return 0
return sign
def main(args):
config = parse_json_config(args.config)
connectdb = connect_db(config=config)
globusdb = globus_db(config=config, connect_db=connectdb)
globusdb.add_group(args.projectfile,
username="******",
group_parent=args.parent)
def getMovieDetail(movie_id):
mysql = connect_db.connect_db()
movie_detail = system_object.MoviesDetail()
movie_detail.base.Mid = movie_id
if mysql.getMovieDetail(movie_detail) == -1:
mysql.close()
return 0
#_spider.movies_detail_view(movie_detail)
mysql.close()
return movie_detail
def getUserHaveWatch(user_id):
mysql = connect_db.connect_db()
user = system_object.User(user_id)
user.name = mysql.getUserName(user_id)
have_watch = mysql.getUserMovies(user_id)
for i in range(len(have_watch)):
mysql.getUserMovieDetail(have_watch[i])
user.movies = have_watch
mysql.close()
return user
def get_db():
"""Opens a new database connection if there is none yet for the
current application context.
"""
if not hasattr(g, 'azure_db'):
g.azure_db = connect_db()
g.azure_db.autocommit = True
g.azure_db.set_attr(pyodbc.SQL_ATTR_TXN_ISOLATION,
pyodbc.SQL_TXN_SERIALIZABLE)
return g.azure_db
def main(args):
print(datetime.datetime.now())
config = parse_json_config(args.config)
connectdb = connect_db(config=config)
globusdb = globus_db(config=config, connect_db=connectdb)
# Get all groups
globus_groups = globusdb.get_all_groups(get_summary=True)
# Create new groups if necessary
new_groups = [
grp for grp in globus_groups
if grp["name"] not in connectdb.groups.keys()
]
for ng in new_groups:
log.info("Creating group %s", ng["name"])
connectdb.add_group(ng)
if len(connectdb.groups.keys()) != len(globus_groups):
# Removing groups that were deleted
ggroups = [grp["name"] for grp in globus_groups]
deleted_groups = [
grp for grp in connectdb.groups.keys()
if (grp not in ggroups
and "globus_uuid" in connectdb.groups[grp].keys())
]
for dg in deleted_groups:
log.info("Removing group %s", dg)
connectdb.groups.pop(dg, None)
# Update group information, mainly number of users
for ggrp in globus_groups:
log.debug("Updating group %s", ggrp["name"])
connectdb.update_group(ggrp)
# Get all users
globus_members = globusdb.get_all_users(get_user_groups=True)
# Get and create new users
new_users = [
user for user in globus_members
if (user["username"] not in connectdb.users.keys()
and user["groups"] != ["connect"])
]
for nu in new_users:
# Create new users if necessary
log.info("Creating user %s", nu["username"])
connectdb.add_user(nu)
if len(connectdb.users.keys()) != len(globus_members):
gusernames = [user["username"] for user in globus_members]
removed_users = [
user for user in globus_members
if user["username"] not in gusernames
]
for rm in removed_users:
connectdb.set_user_nologin(rm)
# Update user information, mainlt
for gusr in globus_members:
log.debug("Updating user %s", gusr["username"])
connectdb.update_user(gusr)
connectdb.write_db()
def main(args):
config = parse_json_config(args.config)
connectdb = connect_db(config=config)
new_users = {}
for username, user_info in connectdb.users.iteritems():
user_info["condor_schedd"] = random.randint(1, 5)
user_info["connect_project"] = None
if ["connect"] == user_info["groups"]:
continue
new_users[username] = user_info
connectdb.users = new_users
connectdb.write_db()
def maitainInitMovies():
mysql = connect_db.connect_db()
movies = mysql.gettop100Movies()
mo = ''
if mo is -1:
mysql.close()
return -1
for i in movies:
mo += str(i) + ','
mo = mo[:-1]
s = mysql.updateInitMovies(mo, -1)
mysql.close()
return s
def maintain_similarity(user_id):
mysql = connect_db.connect_db()
num = 943
#num = mysql.getNumUser()
if num == -1:
return -1
main_user = mysql.getUserMovies(user_id)
lens_main = len(main_user)
for i in range(user_id + 1, num + 1):
if i == user_id:
continue
temp = mysql.getUserMovies(i)
#print(main_user)
lens_temp = len(temp)
k = 0
j = 0
same = [[], []]
while k < lens_main and j < lens_temp:
if main_user[k].Mid < temp[j].Mid:
k += 1
elif main_user[k].Mid > temp[j].Mid:
j += 1
else:
same[0].append(float(main_user[k].user_score))
same[1].append(float(temp[j].user_score))
k += 1
j += 1
if len(same[0]) == 0:
mysql.updateSimilarity(user_id, i, -1, 0, 0, 0)
continue
sum1 = sum(same[0]) / len(same[0])
sum2 = sum(same[1]) / len(same[1])
sim1 = 0
sim2 = 0
sim3 = 0
for k in range(0, len(same[0])):
sim1 += (same[0][k] - sum1) * (same[1][k] - sum2)
sim2 += (same[0][k] - sum1)**2
sim3 += (same[1][k] - sum2)**2
sim1 += 1
sim2 += 1
sim3 += 1
just = float(len(same[0])) / 20
if just > 1:
just = 1
sim = float(sim1) / (math.sqrt(sim2) * math.sqrt(sim3)) * just
if mysql.updateSimilarity(user_id, i, sim, sim1, sim2, sim3) == -1:
return -1
mysql.close()
return 1
def create_qiwi_api():
conn, c = connect_db()
uid_child = str(uuid.uuid4())
table = """
create table tokenQIWI(
idToken integer not null primary key,
token varchar(32),
parent integer not null,
status integer
)
"""
c.executemany(table)
conn.commit()
conn.close()
def insertMovieScore(user_id, movie_id, movie_score):
mysql = connect_db.connect_db()
sign = mysql.isMovieWatch(user_id,movie_id)
if sign == -1:
mysql.close()
return -1
elif sign == 0:
if mysql.insertMovieScore(user_id,movie_id,movie_score) == -1:
mysql.close()
return -1
else:
if mysql.updateUserMovieScore(user_id,movie_id,movie_score) == -1:
mysql.close()
return -1
mysql.close()
return 1
def test_score(user_id):
mysql = connect_db.connect_db()
recommend = recommend_movies.comput_recommend(user_id)
test_movies = mysql.getTestMovies(user_id)
have_watch = mysql.getUserMovies(user_id)
test = []
stdout_backup = sys.stdout
num = len(test_movies)
log_file = open(str(user_id) + "_recommend", "a")
sys.stdout = log_file
for row in recommend:
i = 1
for r in have_watch:
if int(row[0]) < 0 or int(row[0]) == r.Mid:
i = 0
break
if i:
test.append([int(row[0]),row[1],0,0])
similarity_users = mysql.getSimiUsers(user_id, 0.3)
for i in range(len(test)):
sign = 1
for row in test_movies:
if row[0] == test[i][0]:
test[i][2] = row[1]
sign = 0
break
#print(sign)
average = []
for j in similarity_users:
if sign == 0:
break
temp = mysql.getUserMovieScore(j, test[i][0])
#print(test[i][0],j)
#print(temp)
if temp != -1:
average.append(temp)
if sign:
average = float(sum(average))/len(average)
test[i][3] = average
print(test[i][0], test[i][1], test[i][2], test[i][3])
sys.stdout = stdout_backup
log_file.close()
mysql.close()
def category_insert(cat_id, cat_name):
db = None
try:
db = connect_db.connect_db('thunder')
# 데이터 삽입 sql 정의
with db.cursor() as cursor:
sql = '''
insert INTO category values("%d","%s")
''' % (cat_id, cat_name)
cursor.execute(sql)
db.commit() # 커밋
except Exception as e:
print(e)
finally:
if db is not None:
db.close()
def maintainAverageScore(movie_id):
mysql = connect_db.connect_db()
watch_time, num_score = mysql.getMovieWatch(movie_id)
#print(watch_time,num_score)
if watch_time == -1:
mysql.close()
return -1
elif watch_time == 0:
if mysql.updateMovieWatch(movie_id, watch_time, 0) == -1:
mysql.close()
return -1
else:
mysql.close()
return 1
average = num_score/watch_time
if mysql.updateMovieWatch(movie_id, watch_time, average) == -1:
mysql.close()
return -1
mysql.close()
return 1
for i in data:
try:
if i.h4.string == 'Country:':
movies_detail.country = i.a.string
elif i.h4.string == 'Language:':
movies_detail.language = i.a.string
elif i.h4.string == 'Runtime:':
movies_detail.runtime = float(i.time.string.split()[0])
except:
pass
movies_detail.base.Name = temp
return 1
if __name__ == '__main__':
mysql = connect_db.connect_db()
stdout_backup = sys.stdout
i = 1683
pbar = tqdm.tqdm(total=1682)
pbar.update(1683)
while (i < 1683):
#pbar.update(i)
log_file = open("log.log", "a")
movies_detail = system_object.MoviesDetail()
movies_detail.base.Mid = i
movies_detail.base.Name = mysql.getMoviesName(
movies_detail.base.Mid) #'Toy Story (1995)'
sys.stdout = log_file
k = 0
while k < 10:
if spider(movies_detail) != 0:
line = line.strip('\n')
line = line.split("|")
informationList.append(line)
#print(informationList)
sql_command = """INSERT INTO Rental(
cid, mid, date_and_time, status) VALUES
(?,?,?,?)"""
cursor.executemany(sql_command, informationList)
def dropTables(conn):
conn.execute("DROP TABLE IF EXISTS Rental")
conn.execute("DROP TABLE IF EXISTS Customer")
conn.execute("DROP TABLE IF EXISTS RentalPlan")
conn.execute("DROP TABLE IF EXISTS Movie")
if __name__ == "__main__":
conn = connect_db()
dropTables(conn)
loadRentalPlan("RentalPlan.txt", conn)
loadCustomer("Customer.txt", conn)
loadMovie("Movie.txt", conn)
loadRental("Rental.txt", conn)
conn.commit()
conn.close()
def gen_input_args(g_tool, g_tool_name, outputdir, logd, directory_hierarchy,
ftest, fcdb, toa, btime, etime, dt, CONFIG_DICT):
"""
generate "input_args", which in a dictionary that holds all the varaibles
needed for your commands
"""
for inputdir, pf, seq, cdt, tmp, num in directory_hierarchy:
input_args = dict(inputdir=inputdir, pf=pf, seq=seq, cdt=cdt, num=num)
# gen paths for input files:
# (when organizing, input files could also be outputfiles)
# xtcf, grof, proxtcf, progrof, tprf, edrf, ndxf
input_args.update(gen_input_files(inputdir, pf))
# if g_tool is from organize module, no new dir needs to be created
# to compare string, is doesn't work (confirmed)
if not g_tool.__module__ == 'g_analyze.organize':
# anadir should be a subfolder under outputdir
anadir = os.path.join(outputdir, 'r_' + g_tool_name)
input_args['anadir'] = anadir
if not os.path.exists(anadir) and not ftest:
os.mkdir(anadir)
# this part will be improved later, particular when using a database
if fcdb:
import connect_db as cdb
ss = cdb.connect_db(CONFIG_DICT['database'])
query = ss.query(cdb.Cutoff_rg_alltrj).filter_by(sqid=seq)
time_for_b = query.value(cdt)
input_args['b'] = time_for_b
else:
input_args['b'] = 0 # default
# particular to make_ndx
if toa == 'g_make_ndx':
ndx_id = CONFIG_DICT['ndx_input'] # ndx_input_dict
ndx_fd = CONFIG_DICT['ndx_format'] # ndx_format_dict
# from pprint import pprint as pp
input_args['ndx_input'] = ' '.join(
[ndx_id[ndx_fd[f].format(**locals())] for f in ndx_fd]
)
if toa == 'g_select':
input_args['g_select_select'] = ("'" +
CONFIG_DICT['g_select']["seq"] +
CONFIG_DICT['g_select'][ cdt ] +
"'")
# particular to sequence_spacing, maybe later toa need also to be
# checked for other analysis, as well.
if toa == 'sequence_spacing':
from mysys import read_mysys
mysys = read_mysys.read()
# input_args['peptide_length'] = mysys[seq].len
input_args['peptide_length'] = mysys[seq].len # when analyzing ff_comparison
if toa == 'trjorder':
from mysys import read_mysys
mysys = read_mysys.read()
try:
input_args['NA'] = mysys[cdt].natom # when analyzing ff_comparison
except KeyError:
print "ASSUME NUMBER OF ATOMS PER SOLVENT MOLECULE IS THAT OF WATER: {0}".format(mysys['w'].natom)
input_args['NA'] = mysys['w'].natom
# input_args['bin'] = os.path.join(os.environ['HOME'], "exec/gromacs-4.0.5/exec/bin/")
# dirty, fix later!
input_args['bin'] = os.path.join(os.environ['HOME'], "exec/gromacs-4.5.5/exec/bin/")
if cdt in ['h', 'f']: # Heptanol
input_args['bin'] = os.path.join(os.environ['HOME'], "exec/gromacs-4.5.5/exec/bin/")
# if cdt in ['h', 'f']: # Heptanol
# os.environ['PATH'] = (os.path.join(os.environ['HOME'],
# "exec/gromacs-4.5.5/exec/bin/")
# + os.environ['PATH'])
input_args['pwd'] = os.getenv('PWD')
input_args['b'] = btime # beginning time
input_args['e'] = etime # endding time
input_args['dt'] = dt # endding time
# generate the command that is gonna be executed
cmd = g_tool(input_args)
logf = os.path.join(logd, '{0}.log'.format(pf)) if logd else None
yield (cmd, logf)
#!/usr/bin/env python import pyorient import pika import sys import json #import pysiddhi from time import sleep from connect_db import connect_db from lib_sheldon import close_brackets, subtract_bed #set up data storage client=connect_db() #siddhiManager = SiddhiManager() #siddhiApp = "define stream patientStream (zipcode int, patient_status_code int);" + \ # "@info(name = 'incoming')" + \ # "from patientStream" # Set the connection parameters to connect to rabbit-server1 on port 5672 # on the / virtual host using the username "guest" and password "guest" username = '******' password = '******' hostname = 'vcbumg2.cs.uky.edu' #VM testing and deployment virtualhost = '1' #hostname = '128.163.202.50' #local testing
def launch_web_api():
# launch Database
client = connect_db()
# launch web application
app = Flask(__name__)
reset_app(client)
# testing APIs
@app.route('/test')
def get_status():
#query
start_time = time.time()
hostname = socket.gethostname()
current_time = time.time()
exec_time = time.time() - start_time
status = 'online'
#package
responce = dict()
responce['hostname'] = hostname
responce['current_time'] = current_time
responce['exec_time'] = exec_time
responce['status'] = status
#encode and respond
return json.dumps(responce)
@app.route('/patient_dumpdata')
def patient_dump():
return dump_db(client, "Patient")
@app.route('/hospital_dumpdata')
def hospital_dump():
return dump_db(client, "Hospital")
@app.route('/kydist_count')
def kydist_dump():
return dump_row_count(client, "kyzipdistance")
@app.route('/reset_beds')
def reset_beds():
filename = "hospitals_totalbed.txt"
return load_hospital(client, filename)
#MF1 API
@app.route('/api/getteam')
def getteam():
team = dict()
team['team_name'] = "505Team"
team['Team_members_sids'] = ["12535791", "10456246"]
team['app_status_code'] = "1"
#encode and respond
return json.dumps(team)
#MF 2
@app.route('/api/reset')
def reset():
return reset_app(client)
#OF 2
@app.route('/api/getpatient/<string:mrn>')
def getpatient(mrn):
location_code = getlocationcode(mrn)
patient = dict()
patient['mrn'] = str(mrn)
patient['location_code'] = str(location_code)
#encode and respond
return json.dumps(patient)
#OF 3
@app.route('/api/gethospital/<string:id>')
def gethospital(id):
beds = getbeds(id, client)
response = dict()
response['total_beds'] = beds["total_beds"]
response['avalable_beds'] = beds["beds"]
response['zipcode'] = beds["zip"]
return json.dumps(response)
#-----------------------------------------#
#RTR1
@app.route('/api/zipalertlist')
def zipalertlist():
return getzipalertlist()
#RTR2
@app.route('/api/alertlist')
def alertlist():
return getalertlist()
#RTR3
@app.route('/api/testcount')
def testcount():
return gettestcount()
return app
#!/usr/bin/python
# -*- coding: utf-8 -*-
import datetime
from autumn.model import Model
from connect_db import connect_db
# 初始化DB连接
connect_db()
class Frame(Model):
"""帧"""
class Meta:
defaults = {"create_time": datetime.datetime.now, "up_num": 0}
def init_db(path_to_db):
with closing(connect_db(path_to_db)) as db:
ftm_path = path.join('.', 'data', 'schema.sql')
with open(ftm_path, mode='r') as f:
db.cursor().executescript(f.read())
db.commit()
#!/usr/bin/python
# -*- coding: utf-8 -*-
import datetime
from autumn.model import Model
from connect_db import connect_db
#初始化DB连接
connect_db()
class Frame(Model):
'''帧'''
class Meta:
defaults = {
'create_time': datetime.datetime.now,
'up_num': 0,
}
def insert_user(name, password):
mysql = connect_db.connect_db()
re = mysql.insert_user(name, password)
mysql.close()
return re
def accessCheck(name, password):
mysql = connect_db.connect_db()
sign = mysql.accessCheck(name, password)
mysql.close()
return sign
Created on Tue Mar 24 10:46:50 2020 @author: evantesei """ import pandas as pd import matplotlib.pyplot as plt import connect_db as connect_db # goal is to compare three sets of SoC data: # 1. SoC query using TAS used in Joe's forecast -- merchant level, industry average from 2019 data # 2. SoC query using Enhance Analytics -- merchant level, industry average from 2020 data, eliminating outlier merchants # 3. #1. but only limited to merchants with valid Enhance Analytics data, then compare # establish connection con = connect_db.connect_db() soc_tos = """ select merchant_ari, industry, sum(tos) as sales, sum(loan_vol) as vol_tos, sum(loan_count) as count, vol_tos/count as aov, vol_tos/sales as soc_tos FROM ( select lv.merchant_ari, industry,
import asyncio
import websockets
import ssl
import json
import random
from connect_db import connect_db
DB = connect_db()
DB.see_dbs()
#G = '{"_event":"bulk-subscribe","tzID":8,"message":"pid-1057391:%%pid-1061443:%%pid-1057392:%%pid-1061453:%%pid-1061794:%%pid-169:%%pid-166:%%pid-172:%%pid-24441:%%pid-178:%%pid-171:%%pid-14958:%%pid-8830:%%pid-8849:%%pid-1:%%pid-13994:%%pid-23705:%%pid-2:%%pid-3:%%pid-4:%%pid-5:%%pid-7:%%pid-20:%%pid-27:%%pid-179:%%pid-8873:%%pid-8839:%%pid-8833:%%pid-44336:%%pid-8827:%%event-412518:%%event-412521:%%event-412472:%%event-411533:%%event-411537:%%event-411534:%%event-411535:%%isOpenExch-1:%%isOpenExch-2:%%isOpenPair-8873:%%isOpenPair-8839:%%isOpenPair-44336:%%isOpenPair-8827:%%domain-1:"}'
G = '{"_event":"bulk-subscribe","tzID":8,"message":"pid-8830:%%pid-8849:%%pid-2186:%%pid-8833:"}'
#G = '{"_event":"bulk-subscribe","tzID":8,"message":"pid-8830:"}'
#G = '{"_event":"bulk-subscribe","tzID":8,"message":"pid-8833:"}'
G1 = "{\"_event\":\"UID\",\"UID\":0}"
#28 pad
G2 = ["{\"_event\":\"heartbeat\",\"data\":\"h\"}"]
async def hello():
async with websockets.connect(
'wss://stream202.forexpros.com/echo/288/y5irwbm8/websocket',
ssl=ssl.SSLContext(protocol=ssl.PROTOCOL_TLS),
ping_interval=None) as websocket:
response = await websocket.recv()
print("< {}".format(response))
await websocket.send(json.dumps(G))
await websocket.send(json.dumps(G1))
OP = 0
IOP = random.choice([10, 29, 15])
while True:
try:
response = await websocket.recv()